OEM : Chemical
At 3M, we apply science in collaborative ways to improve lives daily. Ee have set an ambitious, long-term strategy for sustainability. Our intent is to use our passion and science-approach to tackle challenges where we can make the biggest impact. Challenges that are critical to the Sustainability of our planet, and the people living in it.
👷 3M and Guardhat announce collaboration on connected safety
Guardhat will bring 3M’s Safety Inspection Manager (SIM) into its Industrial Internet of People (IIoP) platform to accelerate product development.
This collaboration is expected to accelerate SIM enhancements while also evaluating new connected safety personal protection equipment (PPE) that aims to keep more frontline workers safe.
Chevron invests in carbon capture and removal technology company, Svante
Chevron New Energies (CNE), a division of Chevron U.S.A. Inc., and Svante announced that Chevron is the lead investor in Svante’s Series E fundraising round, which raised $318 million that will be used to accelerate the manufacturing of Svante’s carbon capture technology.
Since its founding in 2007, Svante has developed carbon capture and removal technology using structured adsorbent beds, known as filters. This funding will support Svante’s commercial-scale filter manufacturing facility in Vancouver, which is anticipated to produce enough filter modules to capture millions of tonnes of carbon dioxide (CO2) per year across hundreds of large-scale carbon capture and storage facilities.
Machine-Learning-Enhanced Simulation Could Reduce Energy Costs in Materials Production
Thanks to a new computational effort being pioneered by the U.S. Department of Energy’s (DOE) Argonne National Laboratory in conjunction with 3M and supported by the DOE’S High Performance Computing for Energy Innovation (HPC4EI) program, researchers are finding new ways to dramatically reduce the amount of energy required for melt blowing the materials needed in N95 masks and other applications.
Currently, the process used to create a nozzle to spin nonwoven materials produces a very high-quality product, but it is quite energy intensive. Approximately 300,000 tons of melt-blown materials are produced annually worldwide, requiring roughly 245 gigawatt-hours per year of energy, approximately the amount generated by a large solar farm. By using Argonne supercomputing resources to pair computational fluid dynamics simulations and machine-learning techniques, the Argonne and 3M collaboration sought to reduce energy consumption by 20% without compromising material quality.
Because the process of making a new nozzle is very expensive, the information gained from the machine-learning model can equip material manufacturers with a way to narrow down to a set of optimal designs. ”Machine-learning-enhanced simulation is the best way of cheaply getting at the right combination of parameters like temperatures, material composition, and pressures for creating these materials at high quality with less energy,” Blaiszik said.